Towards Explainable Artificial Intelligence for Pneumonia and Tuberculosis Classification from Chest X-Ray
Author:
Affiliation:
1. School of Digital Engineering and Artificial Intelligence, Euro-Mediterranean University of Fes,Fes,Morocco
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10302181/10302182/10302183.pdf?arnumber=10302183
Reference21 articles.
1. Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
2. Survey of Explainable AI Techniques in Healthcare
3. Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
4. Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
5. Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Enhancing Interpretability, Reliability and Trustworthiness: Applications of Explainable Artificial Intelligence in Medical Imaging, Financial Markets, and Sentiment Analysis;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27
2. Explainable AI for Tuberculosis Detection using Deep Learning;International Journal of Advanced Research in Science, Communication and Technology;2024-05-19
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